Proceedings of the International Scientific and Practical Conference “Digital agriculture - development strategy” (ISPC 2019)

The soil bank models for information support for the training of agrarian specialists

Authors
Lidiya Senkova, Larisa Grinets, Galina Vyatkina, Darya Tarbeeva
Corresponding Author
Lidiya Senkova
Available Online June 2019.
DOI
10.2991/ispc-19.2019.38How to use a DOI?
Keywords
digital education, soil, museum, soil bank, virtual model, material model
Abstract

Agricultural establishment requires information on a complex natural object – the soil, which is the main productive force of agricultural production, and the information must be timely available. The experience of creating material and virtual soil bank models, attracting its funds for educational activities, is proposed. The scientific concept of creating soil bank models reflects the processes of formation, development and evolution of soil, depending on the natural and environmental factors of soil formation. The methodology of assemblage, processing of stock materials, the stages of the formation process, the design of exposure and collections of soils of the world, of Russia, of the flat and mountainous territory of the Southern Ural, of individual enterprises of the agricultural sector; and their translation into 3D models are revealed. Biological, technological, aesthetic and other aspects of the soil cover, the factors of its formation and degradation are shown using systematic, thematic, integrated and landscape methods of forming exposures. The methods and principles used to create a soil bank make it possible to study the processes and phenomena occurring in soils in an environment of increased anthropogenic impact and to scientifically answer the questions of the current state of the soil cover. This makes it possible to conduct an educational process at two levels of communication. The use of the proposed soil models emphasizes the specificity, uniqueness, importance of the soil on a regional and global scale, provides additional research and practical experience in the training of specialists in the agricultural sector, conducts educational activities at a higher level of scientific generalization unlimited in time and space, conduct monitoring research and predict the state of the soil.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Scientific and Practical Conference “Digital agriculture - development strategy” (ISPC 2019)
Series
Advances in Intelligent Systems Research
Publication Date
June 2019
ISBN
10.2991/ispc-19.2019.38
ISSN
1951-6851
DOI
10.2991/ispc-19.2019.38How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lidiya Senkova
AU  - Larisa Grinets
AU  - Galina Vyatkina
AU  - Darya Tarbeeva
PY  - 2019/06
DA  - 2019/06
TI  - The soil bank models for information support for the training of agrarian specialists
BT  - Proceedings of the International Scientific and Practical Conference “Digital agriculture - development strategy” (ISPC 2019)
PB  - Atlantis Press
SP  - 168
EP  - 173
SN  - 1951-6851
UR  - https://doi.org/10.2991/ispc-19.2019.38
DO  - 10.2991/ispc-19.2019.38
ID  - Senkova2019/06
ER  -